Quantitative Research Operations Analyst

Mesirow•Chicago, IL

1d•Onsite

About The Position

Mesirow is an independent, employee-owned financial services firm founded in 1937. Headquartered in Chicago, with offices around the world, we serve clients through a personal, custom approach to reaching financial goals and acting as a force for social good. With capabilities spanning Private Capital & Currency, Capital Markets & Investment Banking, and Advisory Services, we invest in what matters: our clients, our communities and our culture. We are proud of our employee-owned culture, built on collaboration and shared success, empowering our professionals to develop meaningful relationships, pursue growth opportunities and make a lasting impact for our clients and communities. Mesirow has been named one of the Best Places to Work in Chicago by Crain’s Chicago Business multiple times and is one of Barron’s Top 100 RIA firms. The Mesirow Fiduciary Solutions division provides fiduciary partnership, investment management, asset allocation, and guaranteed retirement income product allocation services to institutional clients in the financial services industry, primarily in the defined contribution space. Recent growth in investment management and retirement income opportunities has created a need for additional research capacity. The role of the Quantitative Research Operations Analyst is to work with the Chief Investment Officer/Director of Quantitative Research to provide multi-purpose research support for the group’s investment management priorities. The role will initially be operationally focused, with the opportunity to grow into a full quantitative research analyst position responsible for new quantitative financial process development and client engagements. Areas of focus include strategic asset allocation and capital market assumptions; understanding, operating, and improving existing quantitative financial processes; and assisting in the development of new quantitative financial processes. This is a quantitative research operations role that involves substantial programming expertise and requires exceptional attention to detail.

Requirements

1-3 years of professional experience in quantitative financial research or a related field (asset allocation, capital market assumptions development, quantitative analysis, financial engineering, investment research) within the financial services industry is required.
Demonstrated exceptional attention to detail is paramount.
Significant programming expertise, preferably in R, and advanced proficiency in Microsoft Excel are required.
Ability to convert academic research concepts into practical solutions for use by other members of the team.
Ability to communicate complex financial concepts effectively to internal clients and previous internal client-facing experience desired.
Ability to work independently and interact with all levels within the organization.
Superior skills in organization, time management, prioritization, research and self-motivation.
Desire to grow and thrive in a highly entrepreneurial environment.

Nice To Haves

An advanced degree in finance, economics, mathematics, statistics, financial engineering, or a related field is preferred, but B.S. holders with the required professional experience will be considered.
CFA charter holder or progress toward the CFA preferred.
MATLAB experience is a plus.
Knowledge and experience in strategic asset allocation, capital market assumption development, optimization methods, statistical/econometric analysis and modeling and Monte Carlo simulation are desirable.
Knowledge of annuity products is a plus.

Responsibilities

Learn and further document existing quantitative financial processes, including strategic asset allocation, capital market assumptions, performance attribution, target date glide path development, and a simulation-based optimization framework for portfolio construction with guaranteed retirement income products.
Spearhead the operation of these processes to update ongoing internal and client deliverables and further enhance and improve these processes as business needs dictate.
Assist in the development of new quantitative financial processes to support strategic asset allocation, capital market assumption, performance attribution, and glide path construction initiatives, using statistical analysis, risk management techniques and simulation methods.
Meet with investment professionals within the Mesirow Fiduciary Solutions division to interpret analysis results and recommend changes in investment policy in response to the results.
Apply complex financial theory to help provide solutions to real-world problems.